1. Maternal metabolic profile predicts high or low risk of an autism pregnancy outcome
- Author
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Teresa Evans, S. Jill James, Oleksandra Pavliv, Ashley Sides, Elizabeth E. Guerrero, Uwe Kruger, Rebecca J. Schmidt, Irva Hertz-Picciotto, Kathryn Hollowood, Stepan Melnyk, William Elms, and Juergen Hahn
- Subjects
0301 basic medicine ,Pediatrics ,medicine.medical_specialty ,Folate ,Autism ,Intellectual and Developmental Disabilities (IDD) ,Population ,Transsulfuration ,Reproductive health and childbirth ,Metabolic profile ,behavioral disciplines and activities ,Article ,Fisher discriminant analysis ,03 medical and health sciences ,0302 clinical medicine ,Risk groups ,Clinical Research ,Pregnancy ,mental disorders ,Developmental and Educational Psychology ,medicine ,Psychology ,education ,Pediatric ,Risk level ,education.field_of_study ,Prevention ,Rehabilitation ,medicine.disease ,Brain Disorders ,Psychiatry and Mental health ,Clinical Psychology ,030104 developmental biology ,Mental Health ,Autism spectrum disorder ,Specialist Studies in Education ,Transmethylation ,030217 neurology & neurosurgery - Abstract
Background Currently there is no test for pregnant mothers that can predict the probability of having a child that will be diagnosed with autism spectrum disorder (ASD). Recent estimates indicate that if a mother has previously had a child with ASD, the risk of having a second child with ASD is ∼18.7% (High Risk) whereas the risk of ASD in the general population is ∼1.7% (Low Risk). Methods In this study, metabolites of the folate-dependent transmethylation and transsulfuration biochemical pathways of pregnant mothers were measured to determine whether or not the risk of having a child with autism could be predicted by her metabolic profile. Pregnant mothers who have had a child with autism before were separated into two groups based on the diagnosis of their child whether the child had autism (ASD) or not (TD). Then these mothers were compared to a group of control mothers who have not had a child with autism before. A total of 107 mothers were in the High Risk category and 25 mothers in the Low Risk category. The High Risk category was further separated into 29 mothers in the ASD group and 78 mothers in the TD group. Results The metabolic results indicated that among High Risk mothers, it was not possible to predict an autism pregnancy outcome. However, the metabolic profile was able to predict with approximately 90% sensitivity and specificity whether a mother fell into the High Risk group (18.7% risk) or Low Risk group (1.7% risk). Conclusions Based upon these measurements it is not possible to determine during a pregnancy if a child will be diagnosed with ASD by age 3. However, differences in the folate-dependent transmethylation and transsulfuration metabolites are indicative of the risk level (High Risk of 18.7% vs. Low Risk of 1.7%) of the mother for having a child with ASD.
- Published
- 2018